The State of Construction Project Management Technology

whitePaper | September 27, 2022

A picture is worth a thousand words and is often able to answer the questions of who, what, where and why. Construction sites are often bustling with workers and have lots of activities happening at the same time. A picture of a construction site tells a thousand tales. Analyzing such pictures using computer vision techniques can help tell a story of what’s happening at site, which can help improve efficiency and safety, minimize risk, and monitor project-related progress. Construction companies are always looking for better project monitoring options and computer vision techniques provide more efficient, automated, round-the-clock monitoring.

whitePaper | April 28, 2021

The US engineering and construction (E&C) industry began 2020 on a bright note—and then COVID-19 hit. Despite the challenges that have resulted, there are reasons to be optimistic. Explore five engineering and construction industry trends that will impact the coming year, from connected construction to new business models.

whitePaper | December 30, 2021

Many argue tha the major driver to better manage this complexity is the engineering paradigm of Industry 4.0. To succeed in this new age, engineers must look for solutions to adapt engineering to a more dynamic world. This white paper introduces a solution to address the engineering challenges of the modern-day industrial revolution.

whitePaper | July 11, 2022

Nearly all industries have wastewater treatment plants. These facilities are designed to meet pretreatment requirements imposed by local or state governments. Pretreatment rules were enacted to prevent industrial discharges from affecting or passing through domestic wastewater treatment plants, so industry is seeing upgrades or new builds to comply. Wastewater piping systems are constructed from a variety of materials depending on the media flowing through the pipes. These pumping and piping systems can be complex, causing havoc and downtime when failures occur.

whitePaper | May 12, 2022

Machine learning is powering most of the recent advancements in artificial intelligence including autonomous systems, computer vision, natural language processing, predictive analytics, and a wide range of applications among the seven patterns of AI. However, in order for these systems to be able to create accurate generalizations, these machine learning systems must be trained on data. The more advanced forms of machine learning, especially deep learning neural networks, require significant amounts of data to be able to create models with acceptable levels of accuracy.

whitePaper | January 1, 2020

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